Optimization Of Groundwater Remediation With New Efficient Parallel Algorithm For Global Optimization

Application of optimization algorithm to PDE modeling groundwater remediation can greatly reduce remediation cost. However, groundwater remediation analysis requires a computational expensive simulation, therefore, effective parallel optimization could potentially greatly reduce computational expense. The optimization algorithm used in this research is Parallel Stochastic radial basis function. This is designed for global optimization of computationally expensive functions with multiple local optima and it does not require derivatives. In each iteration of the algorithm, an RBF is updated based on all the evaluated points in order to approximate expensive function. Then the new RBF surface is used to generate the next set of points, which will be distributed to multiple processors for evaluation. The criteria of selection of next function evaluation points are estimated function value and distance from all the points known. Algorithms created for serial computing are not necessarily efficient in parallel so Parallel Stochastic RBF is different algorithm from its serial ancestor. The application for two Groundwater Superfund Remediation sites, Umatilla Chemical Depot, and Former Blaine Naval Ammunition Depot. In the study, the formulation adopted treats pumping rates as decision variables in order to remove plume of contaminated groundwater. Groundwater flow and contamination transport is simulated with MODFLOW-MT3DMS. For both problems, computation takes a large amount of CPU time, especially for Blaine problem, which requires nearly fifty minutes for a simulation for a single set of decision variables. Thus, efficient algorithm and powerful computing resource are essential in both cases. The results are discussed in terms of parallel computing metrics i.e. speedup and efficiency. We find that with use of up to 24 parallel processors, the results of the parallel Stochastic RBF algorithm are excellent with speed up efficiencies close to or exceeding 100%.

The impact of structured teaching methods on the quality of education

This paper estimates the impact of the use of structured methods on the quality of education of the students in primary public school in Brazil. Structure methods encompass a range of pedagogical and managerial instruments applied to the education system. In recent years, several municipalities in the State of São Paulo have contracted out private educational providers to implement these structured methods in their schooling system. Their pedagogical proposal involves structuring curriculum contents, elaboration and use of teachers and students textbooks, and training and supervision of the teachers and instructors. Using a difference in differences estimation strategy, we find that the fourth and eighth grader students in the municipalities with structured methods performed better in Portuguese and Math than students in municipalities not exposed to the methods. We find no differences in approval rates. However, a robustness check is not able to discard the possibility that unobserved municipal characteristics may affect the results.

Pompidou & Pompeia: a parallel between the management strategies of two cultural institutions in the French and Brazilian contexts

A presente pesquisa foi conduzida na forma de um estudo de caso de duas instituições culturais no contexto francês e brasileiro. O Centro Pompidou é um projeto presidencial de museu financiado pelo Estado, com a missão de tornar a arte moderna em todas as suas expressões acessíveis ao público em geral. O Sesc Pompeia é um centro multidisciplinar de cultura e esporte - financiado pelo dinheiro dos impostos e administrado pela Federação do Comércio . O Sesc Pompéia é dedicado à oferta de educação informal através do cultivo da mente e do corpo. O estudo examina se as teorias de dependência de recursos e de poder podem ser utilizadas para conceituar a relação que o Centro Pompidou e do Sesc Pompéia tem com seus stakeholders financeiros. Mais especificamente, será discutido em que medida o grau de dependência influencia a estratégia de gestão das instituições. O objetivo é de responder a pergunta seguinte: quais são as estratégias que as instituições adotam para reduzir sua dependência com relação a seus principais stakeholders financeiros? Finalmente algumas implicações práticas de gestão serão elaboradas a partir do paralelo entre as estratégias das duas instituições.